Advanced Pandas Functions

This lecture covers advanced functions of Pandas, focusing on filtering, labeling, and manipulating dataframes. Topics include selecting elements, creating dataframes, grouping, aggregating, and rearranging data. The instructor demonstrates how to create, inspect, and modify dataframes using Pandas methods. Additionally, the lecture explores grouping operations, applying functions to groups, and aggregating data. Students will learn how to handle missing values, calculate statistics, and perform complex operations on dataframes.